Iterative Full Head Finite Element Model for Deep Brain Stimulation

G. Walckiers, Jean-Philippe Thiran, J. Mosig, Claudio Pollo
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引用次数: 3

Abstract

In order to understand the mechanisms involved in deep brain stimulation, several finite element models have been made using reduced part of the head and simplified boundary conditions. In this study, we present a method to obtain the potential created by deep brain stimulation while including the natural boundary conditions on the head surface. The use of an iterative procedure allows to have a detailed model of the electrode and of the surrounding tissues based on DT-MRI while applying more realistic boundary conditions than previous studies
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深部脑刺激的迭代全头部有限元模型
为了更好地理解脑深部电刺激的机制,采用简化的边界条件和头部的简化部分建立了几种有限元模型。在这项研究中,我们提出了一种方法来获得脑深部刺激产生的电位,同时包括头部表面的自然边界条件。迭代过程的使用允许基于DT-MRI的电极和周围组织的详细模型,同时应用比以前的研究更现实的边界条件
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Site-selective Electrical Recording from Small Neuronal Circuits using Spray Patterning Method and Mobile Microelectrodes Use of Intracortical Recordings to Control a Hand Neuroprosthesis A System for Single-trial Analysis of Simultaneously Acquired EEG and fMRI Evaluation of approximate stochastic Hodgkin-Huxley models Iterative Full Head Finite Element Model for Deep Brain Stimulation
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